Product Manager, Conversational AI

Hinge Health
San Francisco-HQPosted 9 March 2026

Tech Stack

Job Description

Product Manager, Conversational AI Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com http://hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com. ABOUT THE ROLE As a Product Manager on Hinge Health’s Intelligent Care team, you will lead the end-to-end experience of our member-facing hybrid care assistant. You will own an LLM-powered conversational product that helps bring high-quality MSK care to wherever our members are. You will own the product strategy, safety, and performance of the assistant’s conversations, ensuring it reaches out to members at the right moments, delivers helpful and clinically sound guidance, and seamlessly escalates to our Care Team when human support is needed. You’ll collaborate closely with Engineering, Design, Data Science, Clinical, Legal, Compliance, Applied Science, and fellow PMs. We also provide daily breakfast and lunch for onsite team members. Your work will directly shape member experience, drive engagement and retention, reduce care team workload, and advance our company-level strategy for intelligent, scalable care delivery. WHAT YOU’LL ACCOMPLISH - Establish clear baselines and evaluation frameworks for engagement, conversational success rates, and care team workload reduction. - Ship meaningful improvements to the care assistant that measurably impact key KPIs. This includes new use cases, enhanced conversation flows, or safety/guardrail updates. - Drive a measurable increase in member engagement by expanding the assistant’s ability to deliver timely, personalized, and high-quality guidance. - Achieve reductions in Care Team workload by increasing the percentage of member needs handled safely and effectively through hybrid automation. - Improve conversational performance through continuous iteration on prompts, workflows, escalation logic, and quality metrics. - Partner with PMs and cross-functional teams to scale the assistant to additional product areas, increasing coverage of member needs and overall program impact. HINGE HEALTH HYBRID MODEL We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program. BASIC QUALIFICATIONS - 3+ years of experience as a Product Manager building and shipping AI-driven software products. - Direct experience working with LLM-powered products, including model-driven features, conversational interfaces, or agent-like systems. - Familiarity with prompt design, evaluation frameworks, and LLM performance measurement. - Experience driving cross-functional initiatives with Engineering, Design, Data Science, and specialized partners (e.g., Legal, Compliance). - Strong analytical skills with the ability to use data to define problems, evaluate tradeoffs, and guide decisions. Preferred Qualifications - Experience with AI safety, guardrails, or human-in-the-loop systems, especially in member- or customer-facing contexts. - Background in healthcare, digital health, or regulated environments. - Prior work collaborating with clincal teams or subject-matter experts. - Experience building member-facing products at scale, particularly those driving engagement, retention, or behavior change. ABOUT HINGE HEALTH At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an A ... (truncated, view full listing at source)
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